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The present paper offers an effective approach to integration of behavioral science insights into a navigation recommender system software. The goal is to provide EV drivers with an intelligent navigation system that allows the choice between different routing recommendations. We investigate which incentives are most successful at encouraging users to make decisions that promote a stable grid and the use of renewable energies. We present the current and planned user interface of the ELECTRIFIC ADAS-an advanced driver assistance system developed within the framework of the Horizon 2020 project" ELECTRIFIC" and a selection of behavioral steering techniques-such as financial and symbolic incentives, or default settings–that will be employed within the context of the ADAS system.